Whitepaper Library

IoTEvolutionWorld offers this extensive library to help you productively perform research and analysis. Using simplified search criteria, this archive puts actionable, relevant information about communications and technology at your fingertips.

If you are interested in contributing your White Paper into the IoTEvolutionWorld White Paper Library, please contact us.

MySQL® is a widely used, open source relational database management system (RDBMS) which is an excellent solution for many applications, including web-scale applications. However, its architecture has limitations when it comes to big data analytics.

As data volumes continue to increase exponentially, businesses continue to demand accurate real-time data analysis. That is extremely difficult to achieve with MySQL alone. Many MySQL users have leveraged additional open source and commercial solutions to enhance MySQL’s capabilities and add in-memory computing functionality. However, these point solutions lack the full functionality of an in-memory computing platform like Apache® Ignite™.

This white paper will help you understand how Apache Ignite differs from these point solutions. You'll learn how incorporating Apache Ignite into your architecture can empower dramatically faster analytics and transactions when augmenting your current MySQL infrastructure.

This white paper discusses how the GridGain In-Memory Data Fabric easily powers both existing and new IOT applications in a distributed, massively parallel architecture on affordable, industry-standard hardware.

Gartner expects the Internet of Things (IoT) to have over 20 billion connected things by 2020. This many connected devices transmitting information will require an enormous amount of processing to derive value from this data. To cope with this rapid growth of the Internet of Things, successful IoT database platforms will need a data architecture which leverages in-memory computing. These architectures will address the significant challenges in terms of speed, scalability, variable workloads, and other issues created by IoT applications.

GridGain is an in-memory computing platform that delivers unprecedented speed and unlimited scale to modern data processing. Built on the Apache® Ignite™ open source project, GridGain enables high-performance transactions, real-time streaming, and fast analytics in a single, comprehensive data access and processing layer.

Unlike in-memory databases, GridGain works on top of existing databases and requires no rip-and-replace or any changes to an existing RDBMS. And, it can run on premise, in a hybrid environment, or on a cloud platform such as AWS, Microsoft Azure or Google Cloud Platform.

Read “Introducing the GridGain In-Memory Data Fabric” to learn how the features of GridGain can power your IoT applications.

With the cost of system memory dropping 30% every 12 months, in-memory computing has become the first choice for a variety of workloads across all industries. In-memory computing can provide a lower TCO for data processing systems while providing an unparalleled performance advantage.

In-memory computing technologies take many forms, ranging from in-memory data caches on a single server to in-memory databases (IMDBs), in-memory data grids (IMDGs), and comprehensive in-memory computing platforms (IMCPs). High performance in-memory computing technologies can even allow real-time analytics to run on operational datasets, enabling the implementation of hybrid transactional/analytical processing (HTAP) systems that can provide significant cost and complexity savings.

The GridGain in-memory computing platform provides a way to simplify the HTAP architecture for IoT databases and analytics. It addresses the needs of both transactional and analytical processing and also provides persistency and event processing — all in a high-speed, linearly scalable platform. And GridGain is just one core technology with one skill set to learn.

This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of in-memory data grids and introduces the GridGain In-Memory Data Fabric. Finally, it presents a deep dive on the capabilities of the GridGain solution.

By 2020, Gartner expects the Internet of Things (IoT) to have over 20 billion connected things. With this many connected devices transmitting information, there will be an enormous amount of processing required to derive value from this data. To cope with this rapid expansion in the Internet of Things, successful IoT platforms will need a data architecture which leverages in-memory computing. These architectures will address the significant challenges in terms of speed, scalability, variable workloads, and other issues created by IoT applications.

This white paper takes a look at popular use cases for and components of IoT. It then discusses the challenges caused by typical approaches to IoT data architecture and its associated resource requirements. You will learn how an in-memory computing platform can simplify this architecture and reduce your team’s learning curve.

The importance of getting your interactive graphical user interface (UI) right for the end user is absolutely critical to the success of any project. By understanding the most common occurring issues, or issues cited as the most frustrating/degrading experiences in the UI experience, and by taking a holistic view of the system across layers (OS, middleware, application) with these specific UI aspects considered, you can achieve the UI you and your customers’ desire. This white paper will discuss the types of performance problems, the complexity and benefits of using multicore SoCs, and how best to take the performance metrics and use an advanced analysis method to help identify and fix the problems.

We love our wearables, but wearable devices connected to public networks supporting bi-directional data flow make our devices...and us...highly susceptible to attack. Security can no longer be thought of as an “after thought” to embedded system design; development teams must design in security methods and adopt a security development lifecycle approach that meets the appropriate security level. Designing embedded software with the proven security capabilities of Mentor Graphics Nucleus®; RTOS and Nucleus SafetyCert™ to meet the stringent safety and regulatory requirements for embedded systems, with a process model for space partitioning and support of ARM®; TrustZone®; technology, can protect your embedded design against security threats.

The history of electronic products started over 100 years ago. As time went on, consumer products were created and developed for use in everyday life. Today, our society is reliant on many of these technologies to get us through our day. Nowadays, these electronic systems are increasingly complex and need to be integrated. In turn, the consumer electronics market is larger and more competitive than ever, so the products that are developed must have eye catching style, the latest technology and a competitive price to be successful.

As enterprises progress on their internet-of-things (IoT) journeys, they seek to radically transform and strengthen their businesses by turning real-time IoT data into insights, action, and, ultimately, business value. Learn how to drive digital transformation and real business outcomes with IoT solutions.

Get the findings from a 2016 Forrester Consulting report that evaluates how enterprises are taking advantage of the Internet of Things, specifically how IoT fits into broader digital business transformation initiatives.

Manufacturing supply chains are experiencing levels of change like never before. Significant shifts in consumer preferences and behaviors, along with the emergence of a whole new set of enabling technologies, are conspiring to create both massive opportunities and equally massive challenges. And, it comes as no surprise that supply chains are transforming themselves to meet these opportunities and challenges. Explore how to being your transformational journey.

Do you want to run a more profitable fleet? Read this white paper to discover how to uncover potential savings in the areas of safety, fuel, maintenance, and productivity. By pursuing these savings opportunities, You can increase fleet efficiency and improve your bottom line.

What you will learn:

- What is the Cost of Ignoring (COI)? - How is COI calculated?- How to use the Fleet Savings Summary Report- Four key opportunities for cost savings- Importance of driver behavior management

In order to take advantage of the latest digital business models, organizations need security that remains with their data and protects it no matter where it goes. Security needs to be transparent in solutions, without impacting the user experience. Organizations and developers need to define a resilient security architecture and deploy data-centric security technologies that support agility, speed, cost-effectiveness, and innovation in a highly connected world.

For developers of mobile, Cloud or IoT applications, finding the right strategy is not always easy. This white paper offers five new rules for developers to consider when choosing security for their applications with a strong focus on protecting the most valuable asset in the equation - the data.

The amount of machine data available requires complex analysis and correlation across different types of data sets. Companies that can perform this analysis stand to reap the rewards. IBM’s big data approach can help you gain business insights and visibility into the customer experience.